Answer a question, get the next step
checker_answerGiven a question id and the chosen option (its choice index), return the next question or the final verdict.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| choice | Yes | ||
| question | Yes |
checker_answerGiven a question id and the chosen option (its choice index), return the next question or the final verdict.
| Name | Required | Description | Default |
|---|---|---|---|
| choice | Yes | ||
| question | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral transparency. It does disclose the core behavior—returning either the next question or the final verdict—which is helpful, but it does not explain side effects (if any) such as state mutation, whether answers are recorded, or what the final verdict format looks like.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the input and output. Every word earns its place, and it avoids any redundancy with the schema.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter tool with no output schema, the description does convey the basic call flow and expected results. However, the lack of parameter semantics and behavioral details (e.g., what happens with an invalid choice, meaning of 'final verdict') leaves gaps that could cause incorrect invocation, especially given the 0% schema coverage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for the lack of parameter documentation. It mentions 'question id' and 'choice index' but does not clarify that 'question' is a string identifier (not a numeric id) or how 'choice' indexes into available options. This ambiguity is significant for an agent trying to invoke the tool correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Given... return') and names the resource ('question id and chosen option') and the result ('next question or final verdict'), which clearly distinguishes it from the sibling tools like checker_start and checker_tree. However, it does not explicitly compare itself with those siblings, so it falls just short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool: when you have a question id and an option choice and need to advance to the next step. It does not state when not to use it or mention alternatives, such as checker_start for beginning a session, so the guidance is only implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The two functional areas are clearly separated: checker_* tools handle an interactive decision tree, while enquiry_* tools handle the enquiry submission flow. Within each group, each tool has a distinct role: start/answer/tree for the checker, and describe/fields/submit for the enquiry.
All names are lowercase snake_case and mostly use domain prefixes (checker_ and enquiry_), which is easy to read and predict. The minor inconsistency is submit_enquiry, which reverses the domain/action order compared to enquiry_describe and enquiry_fields.
Six tools is a well-scoped count: three tools cover the interactive checklist flow and three cover the enquiry submission flow. Each tool has a clear purpose and none feel redundant.
The checker flow is complete: start begins, answer progresses, and tree provides the full decision graph for end-to-end reasoning. The enquiry flow is also complete: describe explains the process, fields provides the schema, and submit_enquiry handles both validation and final submission with confirmation.